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However, quantification of specific cargo changes in EVs is challenging due to their small size and heterogeneity. Here, we develop a two\u2010color fluorescence cross\u2010correlation spectroscopy (FCCS) and coincident\u2010burst analysis platform to quantify actin\u2010enhanced green fluorescent protein and micro red fluorescent protein dual\u2010labeled EVs secreted from human induced pluripotent stem cells in undifferentiated, partially differentiated, and amyloid beta\u2010treated conditions. First, a two\u2010color time trace with pulsed interleaved excitation reveals a markedly increased actin green fluorescent protein burst frequency in EVs derived from partially differentiated cells compared with undifferentiated ones, suggesting altered secretion dynamics under stress. Second, FCCS analysis directly confirms the loading yield elevation based on coincident\u2010burst analysis of single EVs derived under a partially differentiated condition, indicating enhanced packaging of actin cargo into EVs. Third, the proposed methodology directly quantifies the EV size and the number of actin molecules carried to serve as biogenesis patterns linked to neurodegenerative pathology. Altogether, our platform offers a quantitative, highly specific tool to monitor cytoskeletal disruption via EVs and uncover molecular changes in neuronal differentiation, which is critical for developing therapies for neurological disorders.<\/jats:p>","DOI":"10.1002\/advs.202514421","type":"journal-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T09:33:44Z","timestamp":1767000824000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Coincident Fluorescence\u2010Burst Analysis of Actin Cargo Molecules in Secreted Single Diffusing Extracellular Vesicles From Human Induced Pluripotent Stem Cells"],"prefix":"10.1002","volume":"13","author":[{"given":"Dang Du","family":"Nguyen","sequence":"first","affiliation":[{"name":"Department of Biophysics Institute of Quantum Biophysics Sungkyunkwan University  Suwon Republic of Korea"},{"name":"Department of Intelligent Precision Healthcare Convergence 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